AIMC Topic: Pattern Recognition, Visual
Clear Filters Showing 21 to 30 of 145 articles
Scene context is predictive of unconstrained object similarity judgments.
Cognition
Jul 24, 2023
What makes objects alike in the human mind? Computational approaches for characterizing object similarity have largely focused on the visual forms of objects or their linguistic associations. However, intuitive notions of object similarity may depend...
Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli.
Scientific reports
May 5, 2023
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as supported by picture-plane inversion: perceiving inverted faces/bodies is harder than perceiving their upright counterpart. Albeit neuroimaging evidenc...
Deeper neural network models better reflect how humans cope with contrast variation in object recognition.
Neuroscience research
Jan 19, 2023
Visual inputs are far from ideal in everyday situations such as in the fog where the contrasts of input stimuli are low. However, human perception remains relatively robust to contrast variations. To provide insights about the underlying mechanisms o...
Resolving the neural mechanism of core object recognition in space and time: A computational approach.
Neuroscience research
Dec 9, 2022
The underlying mechanism of object recognition- a fundamental brain ability- has been investigated in various studies. However, balancing between the speed and accuracy of recognition is less explored. Most of the computational models of object recog...
Understanding Human Object Vision: A Picture Is Worth a Thousand Representations.
Annual review of psychology
Nov 15, 2022
Objects are the core meaningful elements in our visual environment. Classic theories of object vision focus upon object recognition and are elegant and simple. Some of their proposals still stand, yet the simplicity is gone. Recent evolutions in beha...
The -MDA: An Invariant to Shifting, Scaling, and Rotating Variance for 3D Object Recognition Using Diffractive Deep Neural Network.
Sensors (Basel, Switzerland)
Oct 12, 2022
The diffractive deep neural network (DNN) can efficiently accomplish 2D object recognition based on rapid optical manipulation. Moreover, the multiple-view DNN array (MDA) possesses the obvious advantage of being able to effectively achieve 3D object...
General object-based features account for letter perception.
PLoS computational biology
Sep 26, 2022
After years of experience, humans become experts at perceiving letters. Is this visual capacity attained by learning specialized letter features, or by reusing general visual features previously learned in service of object categorization? To explore...
Understanding transformation tolerant visual object representations in the human brain and convolutional neural networks.
NeuroImage
Sep 15, 2022
Forming transformation-tolerant object representations is critical to high-level primate vision. Despite its significance, many details of tolerance in the human brain remain unknown. Likewise, despite the ability of convolutional neural networks (CN...
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns.
IEEE transactions on neural networks and learning systems
Aug 3, 2022
Biological systems under a parallel and spike-based computation endow individuals with abilities to have prompt and reliable responses to different stimuli. Spiking neural networks (SNNs) have thus been developed to emulate their efficiency and to ex...
Conceptual alignment in a joint picture-naming task performed with a social robot.
Cognition
Jul 5, 2022
In this study we investigated whether people conceptually align when performing a language task together with a robot. In a joint picture-naming task, 24 French native speakers took turns with a robot in naming images of objects belonging to fifteen ...
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